| | --- |
| | license: apache-2.0 |
| | tags: |
| | - image-classification |
| | - vision |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: pedestrian_age_recognition_local |
| | results: |
| | - task: |
| | name: Image Classification |
| | type: image-classification |
| | dataset: |
| | name: imagefolder |
| | type: imagefolder |
| | config: default |
| | split: train |
| | args: default |
| | metrics: |
| | - name: Accuracy |
| | type: accuracy |
| | value: 0.8073394495412844 |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # pedestrian_age_recognition_local |
| | |
| | This model is a fine-tuned version of [microsoft/beit-base-patch16-224-pt22k-ft22k](https://huggingface.co/microsoft/beit-base-patch16-224-pt22k-ft22k) on the imagefolder dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.5004 |
| | - Accuracy: 0.8073 |
| | |
| | ## Model description |
| | |
| | More information needed |
| | |
| | ## Intended uses & limitations |
| | |
| | More information needed |
| | |
| | ## Training and evaluation data |
| | |
| | More information needed |
| | |
| | ## Training procedure |
| | |
| | ### Training hyperparameters |
| | |
| | The following hyperparameters were used during training: |
| | - learning_rate: 2e-05 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 1337 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | | 0.8849 | 1.0 | 2008 | 0.7939 | 0.6807 | |
| | | 0.9836 | 2.0 | 4016 | 0.6694 | 0.7336 | |
| | | 0.8128 | 3.0 | 6024 | 0.5768 | 0.7668 | |
| | | 0.7611 | 4.0 | 8032 | 0.5541 | 0.7833 | |
| | | 0.6441 | 5.0 | 10040 | 0.5473 | 0.7773 | |
| | | 0.5696 | 6.0 | 12048 | 0.5187 | 0.7971 | |
| | | 0.6925 | 7.0 | 14056 | 0.5082 | 0.8038 | |
| | | 0.5711 | 8.0 | 16064 | 0.5092 | 0.8098 | |
| | | 0.7741 | 9.0 | 18072 | 0.5026 | 0.8020 | |
| | | 0.5269 | 10.0 | 20080 | 0.5004 | 0.8073 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.24.0.dev0 |
| | - Pytorch 1.12.1+cu113 |
| | - Datasets 2.6.1 |
| | - Tokenizers 0.13.1 |
| | |
| | ### Contact information |
| | For personal communication related to this project, please contact Nha Nguyen Van (nha282@gmail.com). |
